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Related Experiment Videos

Accuracy, information, and response time in a saccadic decision task.

B A J Reddi1, K N Asrress, R H S Carpenter

  • 1The Physiological Laboratory, University of Cambridge, CB2 3EG, United Kingdom.

Journal of Neurophysiology
|June 20, 2003
PubMed
Summary
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The Linear Approach To Evidence accumulation To Response (LATER) model accurately predicts reaction times. Manipulating information and urgency in a visual task quantitatively altered response latencies as predicted by the LATER model.

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Decision Science

Background:

  • Reaction times are often modeled using the Linear Approach To Evidence accumulation To Response (LATER) model.
  • The LATER model posits a decision signal rising linearly to a threshold, with trial-to-trial rate variation.
  • This model can incorporate factors like prior probability, information, and urgency.

Purpose of the Study:

  • To quantitatively test the LATER model's predictions.
  • To examine how manipulating information and urgency affects reaction time distributions.
  • To determine if the LATER model accurately predicts these effects.

Main Methods:

  • Subjects viewed random-dot kinematograms with varying levels of directional information.
  • Participants made saccades to indicate perceived motion direction.

Related Experiment Videos

  • Task urgency was manipulated by instructing subjects to respond carefully or hastily.

    • Main Results:

    • Observed reaction time distributions conformed to LATER model predictions.
    • Increased information and urgency both reduced reaction latencies.
    • These manipulations affected latency distributions differently, aligning with LATER's parameters (rate of rise vs. criterion level).

    Conclusions:

    • The LATER model provides an accurate quantitative account of reaction time distributions.
    • The model successfully predicts the distinct effects of information and urgency on decision processes.
    • Simple assumptions about underlying mechanisms can explain the observed changes in latency distributions.